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Machine Learning Seminar 2009
June 7, 2009
Organized by IBM Haifa Research Lab

PDF version for printing (52 KB)


9:30 Gathering

10:00 Opening Remarks,
Oded Cohn, Director, IBM Haifa Research Lab

10:15 Dimensionality Reduction with Contaminated Data: The Very High Dimensional Case
Shie Mannor, Technion – Israel Institute of Technology

10:45 Behind the SNPs: Systematic Synergy-based Analysis of Whole-Genome Associations Data Revisits Apparent Associations
Hani Neuvirth-Telem, IBM Haifa Research Lab

11:15 Testing Properties of Distributions
Ronitt Rubinfeld, Tel-Aviv University

11:45 Break

12:00 Keynote: Semi-Supervised Online Learning - Train Only When You Need
Nicolò Cesa-Bianchi, Università degli Studi di Milano

13:00 Lunch

14:00 Authorship Attribution in the Wild
Moshe Koppel, Bar-Ilan University

14:30 Semantic Categorization into Very Large Taxonomies: Empirical Investigation
Ron Karidi, Israel Innovation Labs, Microsoft

15:00 Break

15:15 Efficient Scalable Algorithms for Structured Prediction
Amir Globerson, Hebrew University

15:45 Secrets, Lies, and Email – Information Classification and Identification for Data Loss Prevention (DLP)
Lidror Troyansky, Research Fellow, Websense Inc.

16:15 Posters and Refreshments